Winners of WAZIHUB Soil Moisture Prediction Challenge with Microsoft & Zindi
WAZIHUB launched a 3-month competition hosted by ZINDI to predict Soil Moisture and allow farmers to anticipate water needs and automate their irrigation schedule.
The competition was possible with 3 months of data collected from the agriculture pilot applications at the University Gaston Berger in Senegal with WAZIUP soil moisture sensors (www.waziup.io).

In numbers we had 677 data scientis enrolled and 6,443 total sessions across 96 countries
The winners of this machine learning competition is Olayinka Fadahunsi AKA DrFad from Nigeria.


1rst Prize Olayinka Fadahunsi: 2,000 USD + 1 Gateway + 3 IoT Kits (each IoT kit is worth 500$)!
Watch his video here


2nd Prize: Hamadi Chihaoui from Tunisia, the machine learning engineer will receive 1,250 USD + 1 Gateway + 2 IoT Kits
3rd Prize: Jasseur Abidi, a machine learning engineer from Tunisia. He wins 750 USD + 1 Gateway + 1 IoT Kit
4th Prize: Daoudi from Tunisia will receive 1 Gateway + 1 IoT Kit
5th Prize: Sertac_Ozker from South Africa will receive 1 Gateway + 1 IoT Kit
Watch his video here
Note that the 3rd place goes to Ageev Alex from Russia. However, he couldn’t receive the prize because, for this competition policy, only Africa resident were eligible to receive the prizes.
Here is the final leaderboard and more insights into the solutions
We congratulate all the data scientists enrolled. Waziup and Wazihub will make sure the resulting model will be tested to have the expected impact which was to help farmers automate their irrigation and use more efficiently their water resources for a better crop yield.
This competition was possible with Zindi and Waziup and Microsoft.
The Wazihub project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement N° 780229.

